{"id":"W2098405556","doi":"10.1111/evo.12352","title":"INCIPIENT SPECIATION OF SEA STAR POPULATIONS BY ADAPTIVE GAMETE RECOGNITION COEVOLUTION","year":2014,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biology; Reproductive isolation; Evolutionary biology; Genetic algorithm; Coevolution; Gamete; Antagonistic Coevolution; Sexual selection; Gene; Genetics; Concerted evolution; Gene flow; Sperm; Negative selection; Selection (genetic algorithm); Genome; Genetic variation; Sexual conflict; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003442582,0.0002155857,0.0002867245,0.0007559331,0.0004285707,0.0004982083,0.0003122887,0.0002939479,0.0006660348],"category_scores_gemma":[0.0006539761,0.0001671582,0.0001940053,0.0004223952,0.0006897453,0.0002722132,0.0007191344,0.0002939538,0.0001413364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315367,"about_ca_system_score_gemma":0.0001728136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004105839,"about_ca_topic_score_gemma":0.001019364,"domain_scores_codex":[0.9998361,0.00004096206,0.00001414016,0.00004686105,0.00004100005,0.00002081975],"domain_scores_gemma":[0.9996544,0.0001003831,0.00009411261,0.00004441577,0.00004272645,0.00006383465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002678823,0.000101522,0.3547525,0.00007453092,0.0001937737,0.000532324,0.001108042,0.0008155341,0.6228659,0.001305464,0.00005367022,0.01792887],"study_design_scores_gemma":[0.00003204311,0.0003396712,0.9812254,0.00001378006,0.00006164741,0.001208975,0.00070248,0.003163506,0.01128564,0.00135024,0.0005856396,0.00003094699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994957,0.0000396063,0.0002356554,0.000006813572,6.674879e-7,0.000001283899,0.000005620449,0.000003291072,0.0002113107],"genre_scores_gemma":[0.9995942,0.0000404581,0.0002323113,0.00001131904,0.000001745605,0.000002938351,0.00002959854,0.000002435205,0.00008491554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007559331,"threshold_uncertainty_score":0.002228081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878037138559408,"score_gpt":0.2244386945555593,"score_spread":0.2056583231699653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}